TECHNICAL FIELD
The present disclosure generally relates to geofencing parking allowing a user to
access a fleet of electric vehicles in a defined geographical location, and
particularly, to a method integrating real-time geofencing and a real-time
5 geofencing system, thereby enabling and promoting easy access to electric
vehicles.
BACKGROUND
In recent times, vehicles, particularly, the electric vehicles have become an
integral part of everyday human life. Individuals, enterprises, service sectors and
10 public authorities make use of different types of vehicles, such as electric or
hybrid vehicles, to commute and/or transport goods/people/commodities from
place to place. However, there remains a significant problem with respect to the
logistical and operational management of such vehicles commonly used and
integrated as a large portion of the fleet in the enterprise or public model, leading
15 to safety, access/parking and operational deficiencies and shortcomings in the
entire ecosystem and value chain, thereby impeding the maintainability and
operability of said vehicles to be adopted and accessed on a large scale required
for bringing the much needed revolution in the mobility space.
Therefore, in light of the foregoing limitations and constraints associated with the
20 present dynamics of the operation and accessibility of electric vehicles, there is an
exigency to fill up this gap in the operational dynamics of the electric vehicles in
order to democratize their access, paving the way for much needed resolve in the
mobility sector, both in terms of conventional transport woes and the associated
serious environmental hazards.
25 SUMMARY
Before the present systems and methods, are described, it is to be understood that
this application is not limited to the particular systems, and methodologies
3
described, as there can be multiple possible embodiments which are not expressly
illustrated in the present disclosure. It is also to be understood that the
terminology used in the description is for the purpose of describing the particular
versions or embodiments only and is not intended to limit the scope of the present
5 application. This summary is provided to introduce concepts related to the realtime geofencing parking, and the method and system integrating the same, in
helping allowing a user to access a fleet of electric vehicles in a defined
geographical location, and the concepts are further described below in the detailed
description. This summary is not intended to identify essential features of the
10 claimed subject matter nor is it intended for use in determining or limiting the
scope of the claimed subject matter.
According to a first aspect, an embodiment of the present disclosure provides a
method integrating real-time geofencing allowing a user to access a fleet of
15 electric vehicles in a defined geographical location, comprising:
generating a request from an app installed on an electronic device of the
user;
retrieving user geographical location from the app on the electronic
device;
20 identifying a parking zone defined by geofence in close proximity to the
geographical location of the user and allotting the identified parking zone
for accessing the fleet of electric vehicles to the user, wherein the parking
zone is identified and allotted based on the availability of electric vehicles
in the parking zone, wherein a trigger is generated at a back-end of a
25 server notifying unavailability of electric vehicles in the identified parking
zone and allotting another parking zone with available electric vehicles to
the user located in the vicinity of the geographical location of the user;
redirecting the user to the identified parking zone and completing the
request generated from the app on the electronic device;
30 allowing the user to access an electric vehicle available from the fleet of
electric vehicles by scanning QR code on the electric vehicle;
4
authenticating the user using face recognition and logo check on t-shirt
worn by the user using machine learning model;
rewarding the user with incentive auto detected on the fly upon successful
authentication; and
5 allowing the user to end ride on the electric vehicle by generating request for end
ride from the app on the electronic device, wherein the ride on the electric vehicle
comes to an end if the user geographical location as received from the electronic
device of the user match with geographical location of the electric vehicle as
received from an IoT device integrated with the electric vehicle.
10
In an embodiment, the defined geographical location mapped onto the geofence
created using geofencing is identified on the fly based on user density and
activity.
15 In an embodiment, the user generated steps performed using the app installed on
the electronic device of the user, including generating the request for accessing the
electric vehicle, accessing the electric vehicle, authentication, and request for
ending the ride on the electric vehicle are log in linked.
20 In an embodiment, the user is required to install the app on the electronic device
and log in to the app.
In another embodiment, the electronic device is a mobile device.
25 In another embodiment, the fleet of electric vehicles comprises two- and threewheeled electric vehicles.
In another embodiment, the user is able to access the electric vehicle upon
scanning QR code on the electric vehicle, within the range of 0.5 metres from the
30 electric vehicle.
5
In yet another embodiment, access to the electric vehicle is subscription based.
In yet another embodiment, authentication of the user is alignment based, such
that facial coordinates of the user are aligned with coordinates of the logo drawn
5 on t-shirt worn by the user.
According to a second aspect, an embodiment of the present disclosure provides a
real-time geofencing system providing a user an access to a fleet of electric
vehicles in a defined geographical location, performing the steps of the method.
10 Additional aspects, advantages, features and objects of the present disclosure
would be made apparent from the drawings and the detailed description of the
illustrative embodiments construed in conjunction with the appended claims that
follow.
It will be appreciated that features of the present disclosure are susceptible to
15 being combined in various combinations without departing from the scope of the
present disclosure as defined by the appended claims.
A better understanding of the present invention may be obtained through the
following examples which are set forth to illustrate but are not to be construed as
limiting the present invention.
20
The present invention is included in the general business context, which aims to
substitute vehicles powered by traditional fuels, for example gasoline or diesel, by
electric vehicles. In particular, the present invention is intended for use in electric
vehicles used within cities, which can be highly beneficial to the local
25 environment due to significant reduction of gaseous emissions as well as
significant reduction of noise. Overall environmental benefits can also be
significant when electric vehicles are charged from renewable energy sources.
DESCRIPTION OF THE DRAWINGS
6
The summary above, as well as the following detailed description of illustrative
embodiments, is better understood when read in conjunction with the appended
drawings. For the purpose of illustrating the present disclosure, exemplary
constructions of the disclosure are shown in the drawings. However, the present
5 disclosure is not limited to specific methods and instrumentalities disclosed
herein. Moreover, those in the art will understand that the drawings are not to
scale. Wherever possible, like elements have been indicated by identical numbers.
Embodiments of the present disclosure will now be described, by way of example
only, with reference to the following diagrams wherein:
10
FIGs. 1(A) & 1(B) represents flow chart depicting a method integrating real-time
geofencing and allowing a user to access a fleet of electric vehicles
in a defined geographical location, in accordance with an
embodiment of the present disclosure.
15
FIG. 2 is a pictorial representation of the geofence parkings in a defined
geographical location, in accordance with an embodiment of the
present disclosure.
FIG. 3 is a pictorial representation of the geofence parkings in a defined
20 geographical location, in accordance with another embodiment of
the present disclosure.
In the accompanying drawings, an underlined number is employed to represent an
item over which the underlined number is positioned or an item to which the
underlined number is adjacent. A non-underlined number relates to an item
25 identified by a line linking the non-underlined number to the item. When a
number is non-underlined and accompanied by an associated arrow, the nonunderlined number is used to identify a general item at which the arrow is
pointing.
DESCRIPTION OF EMBODIMENTS
7
The following detailed description illustrates embodiments of the present
disclosure and ways in which they can be implemented. Although some modes of
carrying out the present disclosure have been disclosed, those skilled in the art
would recognize that other embodiments for carrying out or practicing the present
5 disclosure are also possible.
As required, detailed embodiments of the present disclosure are disclosed herein;
however, it is to be understood that the disclosed embodiments are merely
exemplary of the disclosure which may be embodied in various forms. Therefore,
specific structural and functional details disclosed herein are not to be interpreted
10 as limiting, but merely as a basis for the claims and as a representative basis for
teaching one skilled in the art to variously employ the present disclosure in
virtually any appropriately detailed structure.
Various other objects, advantages, and features of the disclosure will become
more readily apparent to those skilled in the art from the following detailed
15 description when read in conjunction with the accompanying drawings, in which
like reference numerals designate like parts throughout the figures thereof.
In a first aspect, an embodiment of the present disclosure provides a method
integrating real-time geofencing allowing a user to access a fleet of electric
vehicles in a defined geographical location, comprising:
20 generating a request from an app installed on an electronic device of the
user;
retrieving user geographical location from the app on the electronic
device;
identifying a parking zone defined by geofence in close proximity to the
25 geographical location of the user and allotting the identified parking zone
for accessing the fleet of electric vehicles to the user, wherein the parking
zone is identified and allotted based on the availability of electric vehicles
in the parking zone, wherein a trigger is generated at a back-end of a
server notifying unavailability of electric vehicles in the identified parking
8
zone and allotting another parking zone with available electric vehicles to
the user located in the vicinity of the geographical location of the user;
redirecting the user to the identified parking zone and completing the
request generated from the app on the electronic device;
5 allowing the user to access an electric vehicle available from the fleet of
electric vehicles by scanning QR code on the electric vehicle;
authenticating the user using face recognition and logo check on t-shirt
worn by the user using machine learning model;
rewarding the user with incentive auto detected on the fly upon successful
10 authentication; and
allowing the user to end ride on the electric vehicle by generating request for end
ride from the app on the electronic device, wherein the ride on the electric vehicle
comes to an end if the user geographical location as received from the electronic
device of the user match with geographical location of the electric vehicle as
15 received from an IoT device integrated with the electric vehicle.
In a second aspect, an embodiment of the present disclosure provides a real-time
geofencing system providing a user an access to a fleet of electric vehicles in a
defined geographical location, performing the steps of the method.
20 Embodiments of the present disclosure provide the abovementioned method and
system. The system employs information pertaining to the plurality of drivers
and/or the users, the plurality of vehicles, and the plurality of parking zones in a
defined geographical location so as to appropriately allocate vehicles to the
requests generated by the user. Beneficially, the system receives the aforesaid
25 information in real-time or near real-time. The allocation of the vehicles to the
user requests is implemented in a dynamic manner to ensure that vehicles remain
operational for longer periods of time and more requests are serviced, thereby
achieving optimum utilization of vehicles by increasing the number of trips and
reducing on-road breakdowns of the vehicles, and helping promote operability,
30 maintainability, and accessibility of the shared transport network kind of mobility.
9
The server arrangement is coupled in communication with the database
arrangement. The server arrangement is configured to access the information that
is stored at the database arrangement.
5
It will be appreciated that the vehicle information is stored in the database
arrangement associated with the server arrangement. A record of information
pertaining to all the vehicles that are associated with the mobility service provider
is stored in the database arrangement, which can be accessed by the server
10 arrangement.
Further, the user information of the given user includes shift timings of the given
user. Each user may be requested to create a profile with the mobility service
provider. Such a profile can be created using the user device. The profile of the
15 user includes personal information of the user (for example, name, address, date
of birth, mobile contact, emergency contact, blood group, drivers' license issued
by any authority). Also, the user may be required to provide details of any
previous or ongoing legal cases that may be filed against the user in any court of
law. Moreover, the user may be required to provide details of any existing or prior
20 traffic infraction or tickets that have been issued against the user. The
aforementioned information may be utilized by the mobility service provider to
create the profile of the user. Such a profile is optionally continually updated
based on any new information.
25 The term "vehicle", as used herein, generally relates to an electric two- and threewheeler vehicles. In some cases, the two- and three-wheeler vehicles can also be
hybrid vehicles. Throughout the present disclosure, the term "electric vehicle"
refers to a vehicle using electric battery to provide electricity to the wheels to
enable rotatory movement thereto, resulting in movement of the vehicle from a
30 desired first position to a desired second position. Moreover, the electric vehicle is
independent of the combustible fuels such as petrol and diesel. Generally, the
10
electric vehicle is independent of a combustion engine to provide power to the
vehicle. It will be appreciated that the term electric vehicle may interchangeably
be used in the present disclosure with terms such as vehicle, electric three-wheeler
vehicle, electric two-wheeler vehicle, three-wheeler vehicle, two-wheeler vehicle,
5 mobility vehicle, etc., as can be comprehended by a person skilled in the art.
The electric vehicle comprises a controller to control the vehicular operation.
Throughout the present disclosure, the term "controller" as used herein refers to
programmable and/or non-programmable components configured to control at
10 least one vehicle operation. Moreover, the controller comprises a plurality of
instructions for controlling the at least one vehicle operation. Optionally, the
controller includes hardware, software, firmware or a combination of these,
suitable for controlling the at least one vehicle operation. Optionally, the
controller includes functional components, for example, a processor, a memory, a
15 network adapter, and so forth. Optionally, the controller may be connected to a
sever arrangement to enable amendments of the aforesaid plurality of instructions.
The term "user", as used herein, generally refers to an individual or entity that
uses systems and methods of the present disclosure. A user may be an individual
or entity that wishes to use the vehicle, for example, a rider (e.g., driver,
20 passenger) of the vehicle.
The term "geographical location" (also "geo-location" and "geolocation" herein),
as used herein, generally refers to the geographic location of an object, such as, a
user. A geolocation of a user can be determined or approximated using a
25 geolocation device or system associated with the user, which may be an electronic
device (e.g., mobile device) attached to or in proximity to the user. Geographic
information can include the geographic location of the object, such as coordinates
of the object and/or an algorithm or methodology to approximate or otherwise
calculate (or measure) the location of the object, and, in some cases, information
30 as to other objects in proximity to the object. In some examples, the geographic
11
information of a user includes the user's geographic location and/or the location of
one or more vehicles in proximity to the user. Geographic information can include
the relative positioning between objects, such as between users, or a user and a
vehicle. In some cases, the geolocation of an object (e.g., user, electronic device)
5 is not necessarily the location of the object, but rather the location that the object
enters an area or structure, such as, a building or a geofence.
A geolocation device may be a portable (or mobile) electronic device, such as, for
example, a smart phone or a tablet personal computer. The geolocation device
10 refers to an electronic computing device which may execute and run various types
of software to perform the computational tasks, which may or may not be hand
held. Examples of the geolocation device include, but are not limited to, a mobile
device, a smartphone, a desktop computer, a laptop computer, a Chromebook, a
tablet computer, and a specialized dedicated device (e.g. a POS machine).
15
In some cases, the geolocation of an object, such as a vehicle, can be determined
using the manner in which a mobile device associated with the object
communicates with a communication node, such as a wireless node. In an
example, the geolocation of an object can be determined using node triangulation,
20 such as, e.g., wireless node, WiFi (or Wi-Fi) node, satellite triangulation, and/or
cellular tower node triangulation. In another example, the geolocation of a user
can be determined by assessing the proximity of the user to a WiFi hotspot or one
or more wireless routers. In some cases, the geolocation of an object can be
determined using a geolocation device that includes a global positioning system
25 ("GPS"), such as a GPS subsystem (or module) associated with a mobile device.
In some situations, the geolocation of an object can be determined with the aid of
visual and/or audio information captured by an electronic device of the user, such
as, for example, images and/or video captured by a camera of the electronic
30 device.
12
The term "geofencing", as used herein, generally enables the use of GPS or RFID
technology to create a virtual geographic boundary, enabling software to trigger a
response when a mobile device enters or leaves a particular area. Further, the term
"geofence" refers to a virtual perimeter for a real-world geographic area. A geo5 fence could be dynamically generated or match a predefined set of boundaries.
The present disclosure comprises a processing arrangement configured for
carrying out the whole purpose of the invention i.e., to enable access to a fleet of
electric vehicles in a defined geographical location. The “processing arrangement”
refers to a structure and/or module that includes programmable and/or non10 programmable components configured to store, process and/or share information
or data for enabling easy access to the electric vehicles in and out of the
geographical location(s) mapped onto the geofence(s) created using geofencing
and identified basis high user density and activity. Optionally, the processing
arrangement includes any arrangement of physical or virtual computational
15 entities capable of enhancing information to perform various computational tasks.
Furthermore, it will be appreciated that the processing arrangement may be
implemented as a hardware server and/or plurality of hardware servers operating
in a parallel or in a distributed architecture. Optionally, the processing
arrangement is supplemented with additional computation system, such as, neural
20 networks, and hierarchical clusters of pseudo-analog variable state machines
implementing artificial intelligence algorithms. In an example, the processing
arrangement may include components, such as, a memory, a processor, a data
communication interface, a network adapter, and the like, to store, process and/or
share information with other computing devices. Optionally, the processing
25 arrangement is implemented as a computer program that provides various services
(such as database service) to other devices, modules, or apparatus. Moreover, the
processing arrangement refers to a computational element that is operable to
respond to and process instructions to perform the data access transactions.
Optionally, the processing arrangement includes, but is not limited to, a
30 microprocessor, a microcontroller, a complex instruction set computing (CISC)
13
microprocessor, a reduced instruction set (RISC) microprocessor, a very long
instruction word (VLIW) microprocessor, Field Programmable Gate Array
(FPGA) or any other type of processing circuit, for example, as aforementioned.
Additionally, the processing arrangement is arranged in various architectures for
5 responding to and processing the instructions enabling easy access to the electric
vehicles in the defined geographical location(s) via the claimed system and the
method. For the purposes of the present disclosure, the processing arrangement is
configured to perform various functions in a specified order.
In an embodiment, the electric vehicle is configured to host a software application
10 management and infotainment (RTM) arrangement (SAMI (RTM)). The term
‘software application management and infotainment (RTM) arrangement’ used
herein relates to a device-functionality software and/or an operating system
software configured to execute other application programs and interface between
the application programs and associated hardware. In an example, the software
15 application management and infotainment (RTM) arrangement may be operating
within a dashboard of the electric vehicle. In an example, the software application
management and infotainment (RTM) arrangement may be operable to provide an
infotainment (RTM) arrangement and/or system for the user of the vehicle, such
as making phone calls, and accessing web-based content, such as, traffic
20 conditions and weather forecasts, and so forth.
The electric and hybrid set of vehicles, aiding the electric and alternate mobility,
are considered as a particular class of vehicular transport for short to medium
distances. In many instances, they are electrically powered, wheeled
transportation devices with a range from several city blocks to a few miles. These
25 kind of vehicles promoted as a transportation cluster are often arranged in shared
networks whereby a user can locate a mobility vehicle via a mobile app and use it
to move from their present location to a nearby second and/or multiple locations.
The vehicle can then be left for a subsequent user at the second location. Such
transportation cluster networks are increasingly common in urban areas where the
30 use of such mobility vehicles can coincide with heavy local traffic and traffic
14
congestions. Further, in many cases, it may be advantageous to restrict the
maximum speed of the vehicles in some areas for safety reasons.
The electric vehicles may further include sensors connected to a controller, and a
memory (not shown) that stores information relating geofence data, amongst other
5 related information, etc. The vehicle may further include communication circuits
for communicating with networks and servers wirelessly.
In an embodiment, the vehicle may be coupled with a mobile device, such as, a
mobile phone or a tablet computer. The mobile device may be equipped with one
or more sensors that are capable of collecting data, such as accelerometers,
10 gyroscopes, microphones, cameras, and compasses. The mobile device may also
be capable of wireless data transmission.
In an embodiment, one or more cameras may be disposed on the vehicle. The
cameras may collectively form a vision sensing system. Multiple cameras may be
provided. The cameras may be capable of capturing image data for environmental
15 sensing. The cameras may be the same type of cameras or different types of
cameras. In some embodiments, the cameras may include stereo cameras.
Optionally, the cameras may include one or more monocular cameras. In some
instances, combinations of stereo cameras and monocular cameras may be
provided. Any description herein of cameras may apply to any type of vision
20 sensors and may be referred to interchangeably as imaging devices. Although
certain cases provided herein are described in the context of cameras, it shall be
understood that the present disclosure can be applied to any suitable imaging
device, and any description herein relating to cameras can also be applied to any
suitable imaging device, and any description herein relating to cameras can also
25 be applied to other types of imaging devices.
In an embodiment, the vehicle may include one or more sensors to detect objects
near it. For example, the vehicle may include proximity sensors that can detect
vertical structures, such as, buildings, towers, etc. The collected proximity sensor
15
data may be used to determine a distance from the vehicle to the detected
buildings and other structures, which may be indicative of the route or path of the
vehicle.
In an embodiment, the vehicle may further include sensors configured to identify
5 a magnetic field created by buildings as landmarks near specific roads. As the
vehicle is travelling, changes to the detected magnetic field may indicate whether
the route or path of the vehicle.
The systems and methods of the present disclosure may be implemented with the
aid of an application ("app") on the electronic device (e.g., mobile device) of the
10 user, which electronic device is coupled to a server and the vehicle. The app may
be implemented on a graphical user interface (GUI) on the electronic device of the
user.
Referring FIG. 1, illustrated are steps of a method allowing a user to access a fleet
15 of electric vehicles in a defined geographical location, in accordance with an
embodiment of the present disclosure. At a step 102, a user generates a request to
access an electric vehicle in a defined geographical location from an app installed
on an electronic device of the user. The electronic device may be a portable
electronic device, such as a portable computer, telephone, or a smart phone. The
20 request may be received by a server regulating the vehicle access. At a further step
104, the geographical location of the user is retrieved by the server. The
geographical location may be determined using the electronic device of the user.
At a step 106, a parking zone defined by a geofence in close proximity to the
geographical location of the user is identified and allotted to the user for accessing
25 the electric vehicle available in the parking zone, such that the parking zone is
identified and allotted based on the availability of the electric vehicles in the
particular parking zone. The step 108 completes the booking request made by the
user in the event of availability of the electric vehicle in the allotted parking zone,
or else, under step 110, the user is allotted with another parking zone with
30 available electric vehicles located in the vicinity of the geographical location of
16
the user, and a simultaneous trigger is generated under step 112 at a back-end of
the server notifying the mobility service provider of the unavailability of the
electric vehicles in the previously allotted parking zone. At a further step 114, the
user is provided access to the electric vehicle by scanning QR code on the electric
5 vehicle, for example, from within the range of 0.5 metres from the electric
vehicle. The said range, however, is not limiting in nature, and can be adopted to
any appropriate range as required and can be perceived by a person skilled in the
art. The further step 116 requires authentication of the user, for example, by the
server. The authentication may be carried out using face recognition and logo
10 check on t-shirt worn by the user using machine learning model, or any other
applicable alternatives and solutions falling within the scope of the present
disclosure, as conceived by a person skilled in the art. A further step 118 includes
rewarding the user with incentives upon successful authentication thereto, and
under the penultimate step 120, the user is allowed to end ride on the electric
15 vehicle by generating an appropriate request to end the ride on the electronic
device, which is successful, upon matching of the user geographical location as
received from the electronic device of the user with the geographical location of
the electric vehicle as received from an IoT device integrated with the electric
vehicle, as required under the last step 122. The IoT device may be any of the
20 hardware, such as sensors, actuators, gadgets, appliances, or machines, etc., that
are programmed for certain applications and can transmit data over the internet or
other networks.
The steps 102 to 122 of the method illustrated hereinabove, are only illustrative
and other alternatives can also be provided where one or more steps are added,
25 one or more steps are removed, or one or more steps are provided in a different
sequence without departing from the scope of the claims herein.
Moreover, the present disclosure also relates to a real-time geofencing system
providing a user an access to a fleet of electric vehicles in a defined geographical
location, as described above. The various embodiments and variants disclosed
30 above apply mutatis mutandis to the present system.
17
Referring FIG. 2, a pictorial representation 200 of the geofence parkings in a
defined geographical location is depicted in accordance with an embodiment of
the present disclosure. The circles 202 represent the virtual geofences, referring to
5 the parking zones available in the defined geographical location or a setup. Once
the user generates a request for a vehicle, for example, an electric bike, from the
app installed on the electronic device of the user, the request is forwarded to the
parking zone nearest to the geographical location of the user making the request,
upon availability of the vehicles in the particular parking zone. In the event of
10 unavailability of the vehicle in the chosen parking zone, a trigger is generated at
the back-end of the server notifying the mobility service provider of said
unavailability, and the user is transferred to another parking zone in closest
proximity (next in line to the previously chosen parking zone) to the geographical
location of the user, with availability of vehicles to access from. The user is
15 redirected to the defined parking zone to access the vehicle and start the ride upon
successful subscription and authentication. Once the subscribed plan is over and
the user wish to end the ride, the user needs to be in any of the virtual geofences
202 categorized in the defined geographical location in order to end his ride and
return the vehicle.
20 Referring FIG. 3, a pictorial representation 300 of the geofence parkings in a
defined geographical location is depicted in accordance with another embodiment
of the present disclosure. The dotted lines 304 represent high orders and
population density areas, where the probability of getting number of bookings
and/or user requests is high. It will be appreciated that the geofences 302
25 representing the parking zones in the form of the circles are located close to high
user density and activity areas 304 represented by the dotted lines and identified
on the fly basis said user density and activity.
Methods as described herein can be implemented by way of machine (e.g.,
computer processor) executable code stored on an electronic storage location of
30 the computer system. The machine executable or machine-readable code can be
18
provided in the form of software. During use, the code can be executed by a
processor. The code can be pre-compiled and configured for use with a machine
having a processor adapted to execute the code, or can be compiled during
runtime. The code can be supplied in a programming language that can be
5 selected to enable the code to execute in a pre-compiled or as-compiled fashion.
Aspects of the systems and methods provided herein can be embodied in
programming. Various aspects of the technology may be thought of as “products”
or “articles of manufacture” typically in the form of machine (or processor)
executable code and/or associated data that is carried on or embodied in a type of
10 machine readable medium. Machine-executable code can be stored on an
electronic storage unit, such as memory (e.g., read-only memory, random-access
memory, flash memory) or a hard disk. “Storage” type media can include any or
all of the tangible memory of the computers, processors or the like, or associated
modules thereof, such as various semiconductor memories, tape drives, disk
15 drives and the like, which may provide non-transitory storage at any time for the
software programming. All or portions of the software may at times be
communicated through the Internet or various other telecommunication networks.
Such communications, for example, may enable loading of the software from one
computer or processor into another, for example, from a management server or
20 host computer into the computer platform of an application server. Thus, another
type of media that may bear the software elements includes optical, electrical and
electromagnetic waves, such as used across physical interfaces between local
devices, through wired and optical landline networks and over various air-links.
The physical elements that carry such waves, such as wired or wireless links,
25 optical links or the like, also may be considered as media bearing the software. As
used herein, unless restricted to non-transitory, tangible “storage” media, terms
such as computer or machine “readable medium” refer to any medium that
participates in providing instructions to a processor for execution. Hence, a
machine readable medium, such as computer-executable code, may take many
30 forms, including but not limited to, a tangible storage medium, a carrier wave
19
medium or physical transmission medium. Non-volatile storage media include, for
example, optical or magnetic disks, such as any of the storage devices in any
computer(s) or the like, such as may be used to implement the databases, etc.
shown in the drawings. Volatile storage media include dynamic memory, such as
5 main memory of such a computer platform. Tangible transmission media include
coaxial cables; copper wire and fiber optics, including the wires that comprise a
bus within a computer system. Carrier-wave transmission media may take the
form of electric or electromagnetic signals, or acoustic or light waves such as
those generated during radio frequency (RF) and infrared (IR) data
10 communications. Common forms of computer-readable media therefore include
for example: a floppy disk, a flexible disk, hard disk, magnetic tape, any other
magnetic medium, a CD-ROM, DVD or DVD-ROM, any other optical medium,
punch cards paper tape, any other physical storage medium with patterns of holes,
a RAM, a ROM, a PROM and EPROM, a FLASH-EPROM, any other memory
15 chip or cartridge, a carrier wave transporting data or instructions, cables or links
transporting such a carrier wave, or any other medium from which a computer
may read programming code and/or data. Many of these forms of computer
readable media may be involved in carrying one or more sequences of one or
more instructions to a processor for execution.
20 As indicated above, the techniques introduced here implemented by, for example,
programmable circuitry (e.g., one or more microprocessors), programmed with
software and/or firmware, entirely in special-purpose hardwired (i.e., nonprogrammable) circuitry, or in a combination or such forms. Special-purpose
circuitry can be in the form of, for example, one or more application-specific
25 integrated circuits (ASIC s), programmable logic devices (PLDs), fieldprogrammable gate arrays (FPGAs), etc.
The term “data processing apparatus” refers to data processing hardware and
encompasses all kinds of apparatus, devices, and machines for processing data,
30 including by way of example a programmable processor, a computer, or multiple
20
processors or computers. The apparatus can also be, or further include, special
purpose logic circuitry, e.g., an FPGA (field programmable gate array) or an
ASIC (application specific integrated circuit). The apparatus can optionally
include, in addition to hardware, code that creates an execution environment for
5 computer programs, e.g., code that constitutes processor firmware, a protocol
stack, a database management system, an operating system, or a combination of
one or more of them.
Data processing apparatus for implementing machine learning models can also
10 include, for example, special-purpose hardware accelerator units for processing
common and compute-intensive parts of machine learning training or production,
i.e., inference, workloads.
Machine learning models can be implemented and deployed using a machine
15 learning framework, e.g., a TensorFlow framework, a Microsoft Cognitive Toolkit
framework, an Apache Singa framework, or an Apache MXNet framework.
Another aspect provides a computer readable medium comprising machineexecutable code that, upon execution by a computer processor, implements any of
the methods above or elsewhere herein, alone or in combination.
20
Another aspect provides a system comprising a computer processor (or other
logic) and a memory location coupled to the computer processor, the memory
location comprising machine-executable code that, upon execution by the
computer processor, implements any of the methods above or elsewhere herein,
25 alone or in combination.
Modifications to embodiments of the invention described in the foregoing are
possible without departing from the scope of the invention as defined by the
accompanying claims. Expressions such as “including”, “comprising”,
30 “incorporating”, “consisting of”, “have”, “is” used to describe and claim the
present invention are intended to be construed in a non-exclusive manner, namely
21
allowing for items, components or elements not explicitly described also to be
present. Reference to the singular is also to be construed to relate to the plural
where appropriate.
While the present invention is illustrated by description of several embodiments
5 and while the illustrative embodiments are described in detail, it is not the
intention of the applicants to restrict or in any way limit the scope of the appended
claims to such detail. Additional advantages and modifications within the scope of
the appended claims will readily appear to those sufficed in the art. The invention
in its broader aspects is therefore not limited to the specific details, representative
10 apparatus and methods, and illustrative examples shown and described.
Accordingly, departures may be made from such details without departing from
the spirit or scope of applicants' general concept.
Numerals included within parentheses in the accompanying claims are intended to
assist understanding of the claims and should not be construed in any way to limit
15 subject matter claimed by these claims.

We Claim:
1. A method integrating real-time geofencing allowing a user to access a fleet
of electric vehicles in a defined geographical location, comprising:
5 generating a request from an app installed on an electronic device of said
user;
retrieving user geographical location from said app on said electronic
device;
identifying a parking zone defined by geofence in close proximity to said
10 geographical location of said user and allotting said identified parking
zone for accessing said fleet of electric vehicles to said user, wherein said
parking zone is identified and allotted based on the availability of electric
vehicles in said parking zone, wherein a trigger is generated at a back-end
of a server notifying unavailability of electric vehicles in said identified
15 parking zone and allotting another parking zone with available electric
vehicles to said user located in the vicinity of said geographical location of
said user;
redirecting said user to said identified parking zone and completing said
request generated from said app on said electronic device;
20 allowing said user to access an electric vehicle available from said fleet of
electric vehicles by scanning QR code on said electric vehicle;
authenticating said user using face recognition and logo check on t-shirt
worn by said user using machine learning model;
rewarding said user with incentive auto detected on the fly upon successful
25 authentication; and
allowing said user to end ride on said electric vehicle by generating
request for end ride from said app on said electronic device, wherein said
ride on said electric vehicle comes to an end if the user geographical
location as received from said electronic device of said user match with
30 geographical location of said electric vehicle as received from an IoT
device integrated with said electric vehicle.
23
2. The method as claimed in claim 1, wherein said defined geographical
location mapped onto the geofence created using geofencing is identified
on the fly based on user density and activity.
5
3. The method as claimed in claim 1, wherein the user generated steps
performed using said app installed on said electronic device of said user,
including generating the request for accessing said electric vehicle,
accessing said electric vehicle, authentication, and request for ending the
10 ride on said electric vehicle are log in linked.
4. The method as claimed in claim 3, wherein said user is required to install
said app on said electronic device and log in to said app.
15 5. The method as claimed in claim 1, wherein said electronic device is a
mobile device.
6. The method as claimed in claim 1, wherein said fleet of electric vehicles
comprises two- and three-wheeled electric vehicles.
20
7. The method as claimed in claim 1, wherein said user is able to access said
electric vehicle upon scanning QR code on said electric vehicle, within the
range of 0.5 metres from said electric vehicle.
25 8. The method as claimed in claim 7, wherein access to said electric vehicle
is subscription based.
9. The method as claimed in claim 1, wherein authentication of said user is
alignment based, such that facial coordinates of said user are aligned with
30 coordinates of the logo drawn on t-shirt worn by said user.
24
10. A real-time geofencing system providing a user an access to a fleet of
electric vehicles in a defined geographical location, performing the method
as claimed in any one of the preceding claims 1-9.